Valeo Vision

Valeo Schalter Und Sensoren Gmbh

Julien Rebut

Joël Leleve

Abdelaziz Bensrhair

Lowik Chanussot

David Hue

Patrice Reilhac

Siav Kuong Kuoch

Adrien Charpentier

Eric Dubois

Benoist Fleury

Benazouz Bradai

Caroline Robert

Julien Moizard

Joël Lelevé

Camilo Vejarano

Fleury Benoist

Georges Challita

Abdelaziz Bensrhrair

The invention relates to a method for performing a diagnosis of a camera system () of a motor vehicle () by: providing at least one image (BD) by means of a camera (); detecting an object () in the image (BD) by means of an image processing device; providing sensor data (SD) by means of at least one sensor () of the motor vehicle (), wherein the sensor data (SD) characterizes environmental conditions of the motor vehicle (); first classifying the object () and herein associating the object () with a class (K, K, K, K) among several predetermined classes (K, K, K, K) depending on the environmental conditions, wherein the classes (K, K, K, K) differ from each other with respect to the environmental conditions; second classifying the at least one object () and herein associating the object () with one of the classes (K, K, K, K) based on the image (BD) and independently of the sensor data (SD) by a classification device () using a predetermined classification model (); and comparing classification results of the first and the second classification and performing a diagnosis depending on the comparison.

Method for performing diagnosis of a camera system of a motor vehicle, camera system and motor vehicle

A method for detecting an object captured by a camera in an environmental region of a vehicle based on a temporal sequence of images of the environmental region is disclosed. An electronic evaluation device is used to determine at least one characteristic pixel of the object in a first image of the sequence of images, and the determined characteristic pixel is tracked in at least a second image and a flow vector each having a vertical component and a horizontal component is provided by the tracking. A first depth component, which is perpendicular to the vertical component and the horizontal component, is determined based on the vertical component, and a second depth component, perpendicular to the vertical component and the horizontal component, is determined based on the horizontal component. When the first and second depth component correspond within a tolerance range, a validated final depth component is provided.

Method for detecting an object in an environmental region of a motor vehicle, driver assistance system and motor vehicle

A system and process of gauging a camera suitable for equipping a vehicle. The system and process determines at least one value of at least one geometrical parameter of the camera, at least in accordance with an item of information that represents a parameter associated with an object detected by the camera, compares the determined value to a value of reference (&#x3b8;pitching_ref, &#x3b8;rolling_ref, &#x3b8;twisting_ref) of the geometrical parameter of the camera, and controls the geometrical parameter of the camera in accordance with the comparison, particularly by modifying the value of reference in such a way as to gauge the camera.

System of gauging a camera suitable for equipping a vehicle

An obstacle detection procedure within the area surrounding a motor vehicle comprising the following stages: carrying out a first obstacle detection by image processing resulting in a definition of at least one region of interest, classifying the detected obstacle with an index of confidence applied to the region of interest in relation to given characteristics, carrying out a second obstacle detection by sensor/s with detection range below a first threshold resulting in a determined position, projecting the determined position into a reference marker, projecting the region of interest into this reference marker and aligning the two projections obtained and attributing a determined position to the obstacle classified in accordance with the alignment.

Obstacle detection procedure for motor vehicle

An obstacle detection procedure and detection device within the area surrounding a motor vehicle featuring the following: to define at least one first region of interest by carrying out a first detection of an obstacle by shape recognition in an acquired image of this environment; to define at least one second region of interest by carrying out a second detection of an obstacle by movement detection in relation to the vehicle on a sequence of acquired images of this environment; to classify the detected obstacle with, respectively, a first and second index of confidence applied to the first and second regions of interest in relation to given characteristics; and to validate the classification of the object detected in relation to these indices of confidence and in relation to these regions of interest resulting in validated regions of interest.

A process and system for detecting a phenomenon limiting the visibility for a motor vehicle. The process and system comprises the steps of determining at least one point of interest in an image captured of the environment of the vehicle (CALC_H(I)); determining a region of interest in the image (CALC_ROI(I)); determining a graph of different levels of grey on the basis of said region of interest (CALC_CL(ROI)), and determining an area in said graph of different levels of grey around said point of interest (CALC_A(CL, H)).

Process for detecting a phenomenon limiting the visibility for a motor vehicle

A system and method to support the driving of a motor vehicle comprising in particular a system capable of capturing images, wherein the system for capturing images comprises a stereoscopic image capturing system having at least a first camera and a second camera, with the first camera presenting a field of vision) greater than the field of vision of the second camera, and with the stereoscopic system thereby conferring a degree of multifunctionality to the device supporting the driving of the vehicle.

Device intended to support the driving of a motor vehicle comprising a system capable of capturing stereoscopic images

A method for determining the distance of visibility for a driver of a vehicle in the presence of an element disrupting the visibility of the driver, the method comprising the following steps: determining the luminosity of the pixels of a region of an image taken in the field of vision of the driver, resulting in a luminosity curve, determining a first tangent to the curve of luminosity, determining a second tangent to the curve of luminosity, determining a sweep-line according to the first tangent and second tangent, the sweep-line being representative of the distance of visibility.

Method for determining the distance of visibility for a driver of a vehicle

The present invention relates in particular to a method for the early detection of the arrival of a motor vehicle in a dark sector. In general terms, the invention proposes to use a camera for early detection of the arrival of the vehicle in a dark area, for example a tunnel. For this purpose, in the invention, provision is made in particular for using an image processing application for determining on a set of images supplied by the camera, whether the vehicle is ready to enter a dark area and, if it turns out that the vehicle will enter a dark area, to cause a switching on of the lights. Particular embodiments of the method according to the invention also make it possible to dispense with storing a plurality of templates corresponding to the various shapes of tunnel entrances, by providing judicious and reliable recognition criteria.

Method for the early detection of the arrival of a motor vehicle in a dark sector

A method of detecting a visibility interference phenomenon for a motor vehicle. The method includes the steps of: determining a region of interest (ROI) in an acquired image (I) of the environment (E) of the vehicle (V); determining a grey-level curve (CL) from the region of interest (ROI); calculating at least one tangent (TG) from at least one point of interest (PT) in the grey-level curve (CL); and determining a directing coefficient (CF) from the tangent (TG).

Method of detecting a visibility interference phenomenon for a vehicle

A method for adjusting an orientation of a camera installed on a vehicle, comprising the following operations: installing the vehicle at a location provided with markings on the ground, detecting these markings, estimating a vanishing point based on these markings, and matching the vanishing point with a positioning point by angular displacement of the camera.

Method for adjusting the orientation of a camera installed in a vehicle and system for carrying out this method

A method for detecting raindrops on a windscreen, which uses a camera, which is fitted inside the vehicle opposite the windscreen and which is focused at infinite. The method comprises steps of acquiring images by a camera through the windscreen, camera preferably focused at infinite, retrieving the contours of the spots present on the acquired images, and realizing the histogram of the widths of contours of the spots.

Method for detecting rain on a windscreen

The invention concerns a system and method for detecting, at night, the presence of an element such as fog interfering with the visibility of a road scene situated in front of a vehicle, comprising the following operations: acquiring an image of the road scene, extracting, from the image of the road scene, at least one light halo produced by a lighting device of the vehicle, approximating a form of this light halo by an elliptic curve, comparing the form of this light halo with the elliptic curve obtained in order to deduce therefrom the presence or absence of an element interfering with visibility.

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Paris, France

Julien Rebut